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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2407.16276 |
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| _version_ | 1866913442126888960 |
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| author | Mihaly, Vlad Birlescu, Iosif Şuşcă, Mircea Chablat, Damien Dobra, Petru |
| author_facet | Mihaly, Vlad Birlescu, Iosif Şuşcă, Mircea Chablat, Damien Dobra, Petru |
| contents | The control system in surgical robots must ensure patient safety and real time control. As such, all the uncertainties which could appear should be considered into an extended model of the plant. After such an uncertain plant is formed, an adequate controller which ensures a minimum set of performances for each situation should be computed. As such, the continuous-time robust control paradigm is suitable for such scenarios. However, the problem is generally solved only for linear and time invariant plants. The main focus of the current paper is to include m-link serial surgical robots into Robust Control Framework by considering all nonlinearities as uncertainties. Moreover, the paper studies an incipient problem of numerical implementation of such control structures. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_16276 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Continuous-Time Robust Control for Cancer Treatment Robots Mihaly, Vlad Birlescu, Iosif Şuşcă, Mircea Chablat, Damien Dobra, Petru Robotics The control system in surgical robots must ensure patient safety and real time control. As such, all the uncertainties which could appear should be considered into an extended model of the plant. After such an uncertain plant is formed, an adequate controller which ensures a minimum set of performances for each situation should be computed. As such, the continuous-time robust control paradigm is suitable for such scenarios. However, the problem is generally solved only for linear and time invariant plants. The main focus of the current paper is to include m-link serial surgical robots into Robust Control Framework by considering all nonlinearities as uncertainties. Moreover, the paper studies an incipient problem of numerical implementation of such control structures. |
| title | Continuous-Time Robust Control for Cancer Treatment Robots |
| topic | Robotics |
| url | https://arxiv.org/abs/2407.16276 |